The role involves developing next-generation retail measurement solutions by leveraging internal, client, and third-party data. The individual will participate in the product creation process from ideation and proof of concept through to productionalization and go-to-market strategy. Responsibilities include defining business problems as scientific research problems and owning the roadmap for research and development. The position requires building, testing, and optimizing statistical and analytical models to address specific client needs. Additionally, the role entails documenting solutions and creating specifications for technology teams to implement.

Candidates must hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field, with a PhD being considered an advantage. Applicants are required to have at least six years of experience in data science or research, including a proven ability to independently lead end-to-end projects. Essential technical competencies include proficiency in Python, cloud computing, ETL processes, and a vast knowledge of statistical and machine learning methodologies. The role also requires the ability to lead functional teams and deliver results according to project specifications.